Senior Data Engineer @ Walking Tree

Job Description

Job Role -  Senior Data Engineer

Location - 803, 8th Floor Manjeera Trinity Corporate, Kukatpally Housing Board Colony, Kukatpally, Hyderabad, Telangana 500072

Shift Timings- 10:00 AM to 7:00 PM

Work Mode - Work from Office (5 Days Working)

Job Type - Full Time/Permanent
Key Skills - Big Data Tech Stack (Hadoop, Hive, Spark, Scala), Pyspark, Azure Data Stack (Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake, Azure Delta Lake), Documentation

To know more about WTT kindly visit our website

https://walkingtree.tech/

https://www.linkedin.com/company/walking-tree-technologies/about/

Job Title: Azure Data Engineer

Overview:

We are looking for an Azure Data Engineer to design and build scalable data solutions within the Azure ecosystem.

Responsibilities:

• Develop and manage data storage solutions (ADLS , Blob Storage, Azure SQL, Synapse).
• Build and orchestrate ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks. (databricks cluster, architecture etc)
• Implement infrastructure as code and CI/CD using Azure DevOps.
• Ensure security and identity management with Azure AD, Key Vault, and Managed Identities.
• Monitor, optimize, and scale solutions with native Azure services.
• Hadoop, HDFS, Sqoop

Skills Required:

• Hands-on experience with Azure Data Services (ADLS, Synapse, Databricks, SQL).
• Strong knowledge of Python, SQL/T-SQL, and Azure CLI/PowerShell.
• Familiarity with real-time/batch data processing in Azure.
• Good understanding of Azure security and compliance

Kindly share your updated resume at pa************k@wa********e.tech

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Keyskills:   Hive Queries Azure Databricks Pyspark Data Modeling Data Warehousing ETL